276 to 300 of 9,540 AI Jobs in the UK

Opportunity This is not a typical graduate product role. You will work across a portfolio of full-scale technology products covering dealership operations, logistics, AI communications, vehicle buying, CRM, ecommerce, finance and customer experience: AutoGrid – Dealership management and operations platform RoutePortal – Logistics, driver and route management platform Audiofy – AI-powered … employees and customers. Analyse product usage, customer journeys and conversion data. Improve usability across internal platforms, websites and CRM systems. Identify opportunities to use AI, data and automation. Take responsibility for delivering projects from idea through to launch. The Person We're Looking For The breadth of this role will ...

Join us and be part of something bigger. As an Associate Data Scientist within Kainos' Workday Products division, you will support the delivery of AI and ML solutions across our fast-growing suite of Workday products, including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management … apply these to derive insights from data under guidance. Working knowledge of Python programming, with an interest in writing clean, efficient code for AI/ML solutions. Hands-on experience, through study, internships, or personal projects, with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Exposure to supporting ...

Description Key Responsibilities of the Role Design and build AI‐augmented migration tooling, using Claude Code and Copilot, that automates discovery, code transformation, containerisation, and validation across compute platforms. Engineer agentic workflows that analyse legacy workloads, generate migration artefacts (Dockerfiles, Helm/Kubernetes manifests, CI/CD pipeline definitions … produce reviewable pull requests against real codebases. Build the guardrails: automated validation, rollback, and continuous verification so AI‐generated migration changes are safe to ship at scale. Establish reusable patterns, prompts, evals, and reference implementations that let the rest of the migration org apply these tools consistently and reliably. Partner ...

products to ensure compliance with standards and regulations Identify and resolve technical or operational issues during onboarding processes Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Provide ongoing support and training to stakeholders on new product features ...

innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions … environment where bold ideas thrive and make a measurable difference in people’s lives. Your Mission We are hiring Forward Deployed Engineers who treat AI as the substrate of how software gets built—not a tool to be cautious of, not something they are "exploring," but the medium they work ...

solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions. Uses enterprise‐authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according … sensitivity and security requirements. Designing and maintaining critical data delivery systems – encompassing both realtime data, historical data and AI/ML use‐cases. Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements. Capable of finding a balance between best‐of‐breed and cost ...

Senior Software Engineer, Machine Learning Infrastructure - Generative AI About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase … Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high ...

visit CIBC.com## STRATEGIC BUSINESS UNIT DESCRIPTIONThe Quant Solutions Group (QSG) is a global, cross-asset team that builds the software, analytics, data products and AI-enabled tooling that underpin the Global Markets business. The analytical software and data solutions developed by QSG are widely used across CIBC, helping Distribution … bridge between trading, risk, quant, distribution, data governance and technology teams, translating abstract business requirements into scalable, production-grade data, analytics and AI-enabled solutions.## KEY ACCOUNTABILITIES**Data Product Strategy and Commercial Value**• Define target-state data products and semantic layers for key Global Markets domains, including client, trade, market ...

Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role in enabling … platforms. Degree or Master's qualification in Computer Science, Data Engineering, or related field. Why Join Us? As part of our rapidly growing Data & AI team, you’ll have the opportunity to work on cutting-edge Quantexa projects, helping clients unlock the full value of contextual data. You’ll also ...

Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role in enabling … platforms. Degree or Master's qualification in Computer Science, Data Engineering, or related field. Why Join Us? As part of our rapidly growing Data & AI team, you’ll have the opportunity to work on cutting-edge Quantexa projects, helping clients unlock the full value of contextual data. You’ll also ...

Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive … lead applications systems analysis and programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform. Responsibilities Lead the design, engineering and delivery of next generation cloud data services supporting data pre-processing, advances matching engines ...

+ Benefits We're looking for an experienced Data Engineer to join a growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design … doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models, including NLP and generative AI solutions. Build data ingestion pipelines across batch and streaming environments. Design data models and implement best practices for governance and data quality. Work with DevOps ...

mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we've worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting … position as a leader in the data industry, we are seeking a Data Principal (hands on Architect) to lead the local Data & AI Practice and expand our Data capability. This pivotal role supporting the local club leadership requires a balance of leading on client, leading the data practice proposition ...

successes. Why Join the KPMG Tax Technology & Innovation team as a Technology Implementation Assistant Manager? Tax is highlighted frequently as an industry where generative AI will have a significant impact on how services are provided. You will be working as a team at the forefront of navigating that change … complex requirements, processes and systems to design analytics solutions. Aiding in managing the design, development and implementation of KPMG and third party data and AI-driven technology solutions for clients, including configuration and testing to ensure functionality and alignment with business objectives. Supporting the delivery of multiple technology projects ...

London – Manager, Data Science & Marketing Effectiveness Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With … deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI ...

design, development, and delivery of full-stack web applications throughout the software development lifecycle. Drive technical discovery, architecture, platform innovation, rapid prototyping, and AI-assisted development. Design and implement scalable cloud-native solutions on Google Cloud Platform (GCP), including serverless applications, APIs, and microservices. Ensure code quality, reliability, performance … root-cause analysis, and implement effective solutions. Mentor junior developers and promote engineering best practices, while staying current with developments in web, geospatial, cloud, AI, and data technologies. What you need! Proven experience developing enterprise-grade full-stack web applications. Front-end development skills using HTML, CSS/Sass, TypeScript ...

business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame … scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self‐serve exploration for non-DS partners. Drive evidence ...

work in the UK. A large organisation with an established data and analytics function is seeking a Data Scientist to join its central Data & AI team. This is an opportunity to help shape the organisation's machine learning and predictive analytics capability, using large-scale operational datasets to deliver actionable … Opportunity to work on a modern enterprise data platform with significant datasets and real-world business impact. Exposure to advanced analytics, machine learning, and AI initiatives. Collaborative environment working alongside engineering, architecture, and business teams. The chance to help establish and shape data science best practice within a growing analytics ...

operational right hand of the CDAO. This is a pure project management role — you will act as the primary facilitator across a Data Engineering, AI/ML, BI, and Investment Pricing teams, translating high-level organisational ambition into structured, deliverable plans. This is not a coordination role. You will … degree in a business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers and senior commercial ...

optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting‐edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary … will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business‐critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging ...

diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models … greater than the sum of parts: we are a team, one that isn’t just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day You’ll work within ...

some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Building AI Agents to explore and derive insights from users transactional data Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about … Vitality, dental cover, and life assurance Online mental health support via Spill Enhanced parental leave Workplace Nursery Scheme Paid for access to multiple AI platforms (ChatGPT, Codex, Claude) Access to the latest AI coding models Pick your kit - choose between a Windows or an Apple computer Regular socials and activities ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates ...